Grouping Genetic Algorithms: Advances and Applications, Mutingi Michael, Mbohwa Charles
Автор: Mutingi Название: Grouping Genetic Algorithms ISBN: 3319443933 ISBN-13(EAN): 9783319443935 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents advances and innovations in grouping genetic algorithms, enriched with new and unique heuristic optimization techniques. These algorithms are specially designed for solving industrial grouping problems where system entities are to be partitioned or clustered into efficient groups according to a set of guiding decision criteria. Examples of such problems are: vehicle routing problems, team formation problems, timetabling problems, assembly line balancing, group maintenance planning, modular design, and task assignment. A wide range of industrial grouping problems, drawn from diverse fields such as logistics, supply chain management, project management, manufacturing systems, engineering design and healthcare, are presented. Typical complex industrial grouping problems, with multiple decision criteria and constraints, are clearly described using illustrative diagrams and formulations. The problems are mapped into a common group structure that can conveniently be used as an input scheme to specific variants of grouping genetic algorithms. Unique heuristic grouping techniques are developed to handle grouping problems efficiently and effectively. Illustrative examples and computational results are presented in tables and graphs to demonstrate the efficiency and effectiveness of the algorithms.Researchers, decision analysts, software developers, and graduate students from various disciplines will find this in-depth reader-friendly exposition of advances and applications of grouping genetic algorithms an interesting, informative and valuable resource.
Автор: Mikael Collan; Janusz Kacprzyk Название: Soft Computing Applications for Group Decision-making and Consensus Modeling ISBN: 3319868055 ISBN-13(EAN): 9783319868059 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Нет в наличии. Описание: This book offers a concise introduction and comprehensive overview of the state of the art in the field of decision-making and consensus modeling, with a special emphasis on fuzzy methods. It consists of a collection of authoritative contributions reporting on the decision-making process from different perspectives: from psychology to social and political sciences, from decision sciences to data mining, and from computational sciences in general, to artificial and computational intelligence and systems. Written as a homage to Mario Fedrizzi for his scholarly achievements, creative ideas and long lasting services to different scientific communities, it introduces key theoretical concepts, describes new models and methods, and discusses a range of promising real-world applications in the field of decision-making science. It is a timely reference guide and a source of inspiration for advanced students and researchers
Автор: Lijuan Li; Feng Liu Название: Group Search Optimization for Applications in Structural Design ISBN: 3642268471 ISBN-13(EAN): 9783642268472 Издательство: Springer Рейтинг: Цена: 130590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Written by leading experts, this book contains recent research on group search optimization with applications in structural design. It details the latest research work related with particle swarm optimizer algorithm and group search optimizer algorithm.
Автор: Mikael Collan; Janusz Kacprzyk Название: Soft Computing Applications for Group Decision-making and Consensus Modeling ISBN: 3319602063 ISBN-13(EAN): 9783319602066 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: It consists of a collection of authoritative contributions reporting on the decision-making process from different perspectives: from psychology to social and political sciences, from decision sciences to data mining, and from computational sciences in general, to artificial and computational intelligence and systems.
Автор: Haowen Yan Название: Description Approaches and Automated Generalization Algorithms for Groups of Map Objects ISBN: 9811336776 ISBN-13(EAN): 9789811336775 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book focuses on the generalization of map features, providing descriptions and classifying groups of map objects into six categories: point clusters, groups of contours, road networks, river networks, continuous areal features and discrete areal features. Discussing the methods and algorithms in map generalization in equal measure, it also describes the approaches for describing map features. The book is a valuable reference for graduates and researchers who are interested in cartography and geographic information science/systems, especially those in automated map generalization and spatial databases construction.
Автор: Binxing Fang, Yan Jia Название: Groups and Interaction ISBN: 3110597772 ISBN-13(EAN): 9783110597776 Издательство: Walter de Gruyter Рейтинг: Цена: 107790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The three volume set provides a systematic overview of theories and technique on social network analysis.Volume 2 of the set mainly focuses on the formation and interaction of group behaviors. Users’ behavior analysis, sentiment analysis, influence analysis and collective aggregation are discussed in detail as well. It is an essential reference for scientist and professionals in computer science.
Автор: E.A. Arn Название: Group Technology ISBN: 3540075054 ISBN-13(EAN): 9783540075059 Издательство: Springer Рейтинг: Цена: 81050.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This is done by a clear and practical definition of three GT manufacturing systems, the devel- opment of a set of classification systems for work pieces, working operations and man- ufacturing equipment, and in building a data bank from which a data basis for the GT planning process can be evaluated.
Автор: Erik Cuevas; Daniel Zald?var; Marco P?rez-Cisneros Название: Advances in Metaheuristics Algorithms: Methods and Applications ISBN: 3030077365 ISBN-13(EAN): 9783030077365 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Нет в наличии. Описание:
This book explores new alternative metaheuristic developments that have proved to be effective in their application to several complex problems. Though most of the new metaheuristic algorithms considered offer promising results, they are nevertheless still in their infancy. To grow and attain their full potential, new metaheuristic methods must be applied in a great variety of problems and contexts, so that they not only perform well in their reported sets of optimization problems, but also in new complex formulations. The only way to accomplish this is to disseminate these methods in various technical areas as optimization tools. In general, once a scientist, engineer or practitioner recognizes a problem as a particular instance of a more generic class, he/she can select one of several metaheuristic algorithms that guarantee an expected optimization performance. Unfortunately, the set of options are concentrated on algorithms whose popularity and high proliferation outstrip those of the new developments. This structure is important, because the authors recognize this methodology as the best way to help researchers, lecturers, engineers and practitioners solve their own optimization problems.
Автор: Iv?n Palomares Carrascosa Название: Large Group Decision Making ISBN: 3030010260 ISBN-13(EAN): 9783030010263 Издательство: Springer Рейтинг: Цена: 51230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This SpringerBrief provides a pioneering, central point of reference for the interested reader in Large Group Decision Making trends such as consensus support, fusion and weighting of relevant decision information, subgroup clustering, behavior management, and implementation of decision support systems, among others. Based on the challenges and difficulties found in classical approaches to handle large decision groups, the principles, families of techniques, and newly related disciplines to Large-Group Decision Making (such as Data Science, Artificial Intelligence, Social Network Analysis, Opinion Dynamics, Behavioral and Cognitive Sciences), are discussed. Real-world applications and future directions of research on this novel topic are likewise highlighted.
This book mainly introduces a series of theory and approaches of group decision-making based on several types of uncertain linguistic expressions and addresses their applications. The book pursues three major objectives: (1) to introduce some techniques to model several types of natural linguistic expressions; (2) to handle these expressions in group decision-making; and (3) to clarify the involved approaches by practical applications. The book is especially valuable for readers to understand how linguistic expressions could be employed and operated to make decisions, and motivates researchers to consider more types of natural linguistic expressions in decision analysis under uncertainties.
Conflict Resolution.- Nash Stability in a Multi-Objective Graph Model with Interval Preference Weights: Application to a US-China Trade Dispute.- A Novel Conflict Resolution Model Based on the Composition of Probabilistic Preferences.- Analysis of Disputed Territories in the Barents Sea.- A Novel Method for Eliminating Redundant Option Statements in the Graph Model for Conflict Resolution.- Alternatives vs. Time - Measuring the Force of Distinct Sources of Bargaining Power.-Preference Modeling for Group Decision and Negotiation.- Influence Across Agents and Issues in Combinatorial and Collective Decision-making.- A Characterization for Procedural Choice Based on Dichotomous Preferences over Criteria.- Influence Among Preferences and Its Transformation to Behaviors in Groups: An Agent-based Modeling and Simulation of Fertility Intention and Behavior.- Manipulability of Majoritarian Procedures in Two-Dimensional Downsian Model.- Intelligent Group Decision Making and Consensus Process.- PredictRV: A Prediction Based Strategy for Negotiations with Dynamically Changing Reservation Value.- Inferring Personality Types for Better Automated Negotiation.- Decision Rule Aggregation Approach to Support Group Decision Making.- Collaborative Decision Making Processes.- An Ontology for Collaborative Decision Making.- Decidio: A Pilot Implementation and User Study of a Novel Decision-Support System.
Автор: Bonnet Frank, Mondada Francesco Название: Shoaling with Fish: Using Miniature Robotic Agents to Close the Interaction Loop with Groups of Zebrafish Danio Rerio ISBN: 3030167836 ISBN-13(EAN): 9783030167837 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Introduction.- State of the art in fish behavioral studies using robots and robotic-fish design.- The zebrafish Danio rerio as a model animal for animal-robot interaction studies.- FishBot, the fast miniature wheeledmobile robot.- RiBot, the actuated robotic fish lure.- Automated setup to conduct experiments with mixed societies of fish and robots.- CATS, the control and tracking software.- Biomimetic behavior models for controlling a robotic fish.- Application of a fractional factorial design to model the attractiveness of a robotic fish to a shoal of zebrafish.- Using a circular corridor to characterize the attractive cues of lures for a shoal of zebrafish.- Towards mixed societies of fish and robots.- Conclusion.
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